BSE Research Assistant Part-Time Project ESG and MUTUAL FUND COMPETITION 25 hours/week

Organisation/Company Barcelona School of Economics Research Field Economics » Financial science Researcher Profile First Stage Researcher (R1) Positions Master Positions Application Deadline 15 Nov 2026
- 23:59 (Europe/Andorra) Country Spain Type of Contract Temporary Job Status Part-time Hours Per Week 25 Offer Starting Date 1 Dec 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number CEX2 S Is the Job related to staff position within a Research Infrastructure? No¿Listo para inscribirse? Antes de hacerlo, asegúrese de leer todos los detalles pertenecientes a este trabajo en la descripción a continuación.
Offer DescriptionProf. Javier Gil-Bazo is looking to hire a research assistant to work with him at the Barcelona School of Economics on a project studying how sustainable investing influences competition in the mutual fund market.
This project tests whether investors' heterogeneous sustainability preferences weaken competition among ESG mutual funds. Using data on U.
S. and European equity funds, we examine whether ESG funds show greater dispersion in performance, lower exit rates when they underperform, and lower average managerial skill than conventional funds.
The candidate will be supervised by Prof. Javier Gil-Bazo The successful applicant should have graduate-level training in econometrics, ideally but not necessarily familiarity with financial data, and experience handling large datasets in Stata, R, or Python. The role is full-time for two months.
The applicant will join a vibrant Economics community in Barcelona and have opportunities to get involved with the academic life at the Barcelona School of Economics. This is a 3-month position starting on December 2026. The annual gross salary is 22.020€.
The project is one of the BSE Seed Grants 2026, one of the initiatives of the Severo Ochoa accreditation, supported by the Agencia Estatal de Investigación (AEI) through the Severo Ochoa Program: Grant «Excelencia Severo Ochoa» CEX2 S funded by MICIU/AEI/10.13039/5 /.
Master's or PhD student in finance or economicsStrong analytical skills and particularly in econometricsProficiency in programming languages (Stata, R, or Python)Experience cleaning and managing large panel datasetsFamiliarity with financial data(a plus)Spanish working permit (recommended)Strong problem-solving skills and a solution-oriented approach to data issuesRigorous attention to detail and careful documentation of code and data workHighly self-motivated, able to work independently and meet deadlines within a short contractCollaborative and able to communicate progress clearly to the research xqbhyrx teamWillingness to learn new tools and data platformsAvailability to work full-time for two monthsLanguages ENGLISH Level GoodResearch Field Economics » Financial science Years of Research Experience NoneAdditional InformationHands-on experience in empirical finance researchTraining in Morningstar Direct, a leading database of mutual fund dataClose collaboration with senior researchers at UPF and the Barcelona School of EconomicsExposure to the full research process, from building a dataset to econometric analysisEligibility criteriaBased on Programming Skills (50%), Experience (20%) and Qualifications and Skills/Knowledge of the area (30%)Selection processShortlisted applicants will be contacted via email to arrange an online#J-18808-Ljbffr